Protocol reverse engineering system based on reinforcement learning and working method thereof
A technology of reinforcement learning and protocol reverse engineering, which is applied in the field of protocol reverse engineering system based on reinforcement learning, can solve the problems of few types of protocols, unclear protocols, incomplete protocol specifications, etc. Effect
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[0115] The implementation example of this method, the steps are as follows:
[0116] Step 1: Collect data sets, each data sample contains multiple messages, and each message contains known fields and unknown upper layer payloads to be analyzed.
[0117] By collecting network data packet files (pcap files) from the Internet, each data packet file is analyzed for a known lower layer protocol, and the analysis result is formed into a data sample.
[0118] Step 2 builds a reinforcement learning decoding model.
[0119] Such as figure 1 The illustrated reinforcement learning decoding model includes a decoding environment module and a decoding agent module.
[0120] The input of the decoding environment module is an action, and the output is a state and a reward. The inputs of the decoding agent module are states and rewards, and the outputs are actions.
[0121] The status includes the following information:
[0122] raw_data The original data sample to be analyzed.
[0123] ...
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